---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: lr_3e-06_batch_4_epoch_5_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# lr_3e-06_batch_4_epoch_5_model

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9163
- Rouge-1: 17.3664
- Rouge-2: 5.7503
- Rouge-l: 16.1687
- Gen Len: 11.7807

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
| 6.5716        | 1.0   | 2714  | 4.6237          | 15.8545 | 4.4526  | 14.2598 | 18.8185 |
| 5.5876        | 2.0   | 5428  | 4.1738          | 17.5525 | 5.4549  | 15.7657 | 16.4976 |
| 5.3214        | 3.0   | 8142  | 3.9089          | 17.0725 | 5.5016  | 15.8996 | 11.4751 |
| 5.2179        | 4.0   | 10856 | 3.9146          | 17.2716 | 5.7367  | 16.1091 | 11.7639 |
| 5.0379        | 5.0   | 13570 | 3.9163          | 17.3664 | 5.7503  | 16.1687 | 11.7807 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.1.0
- Datasets 2.21.0
- Tokenizers 0.19.1